AI Can Improve Content Creation and Enjoyment

Content Insider #613 – Just Knowin

By Miles Weston

“My thoughts and memories are unique only to me, and I carry a sense of my own destiny. Each of those things are just a small part of it. I collect information to use in my own way.” – Major Motoko Kusanagi, “Ghost in the Shell,” produced by Kodansha, Bandai Visual and Manga Entertainment, 1995

Recently,
we had lunch with Andy Cochrane to talk about a series of sessions at being
planned for Fall’s FMS (Flash Memory Summit) on the state of VR, immersive and
holographic film work (they’re going to be exciting, informative; trust us).

Our
discussion drifted to the speed of technology change taking place in the M&E
industry.

Okay,
we’re not sure why filmmakers seem relish uncertainty, but they always seem to
be up to the challenge.

Our
biggest issue with the newest hot techie topic is the name … artificial
intelligence.

Sterile – AI usage will grow in almost every segment of people’s
lives, but it will augment and assist people not be an artificial
representation if folks and technology are to maximize the benefits.

It’s so … artificial.

We
were delighted when Ginni Rometty, IBM’s president/CEO, keynoted at CES
describing AI as more of an augmented or assisted technology rather than
artificial … assist people’s intelligence, not replace it.

She
also warned it had to be released into the world slowly after a lot of thinking
and testing because you can’t put it back in the bottle once it’s out there.

Think
back on 2001: A Space Odyssey,AI: Artificial Intelligence and the other
forecast-of-the-future films.

Think
about how many far out, historical films
have been a roadmap to tomorrow.

But
still, Cochrane said many of the ways AI could used in filmmaking would be tremendously
useful.

“You
have to understand that a lot of a filmmaker’s work is tedious and
time-consuming,” Cochrane noted, “especially in the pre-production phases – script
breakdowns, storyboards, shot list generation, schedule optimization and
budgets. Once we streamline these
activities, we can focus on the creative work.

“Those
mundane, routine tasks can be streamlined and probably done more accurately by
‘trained’ systems,” he said. “That frees
up filmmakers to focus on developing films/shows that are more interesting, more
involved.

Think
of it,” he commented, “We could then create projects that are more engaging,
immersive for the viewer; and, more importantly, we can have a greater assurance
they will be profitable.”

He
really does make AI does sound mystical, magical.

Or,
as futurist Arthur Clarke deciphered the idea in his third Clarke’s Law – “Any sufficiently advanced
technology is indistinguishable from magic.”

The
development and use of GANs (generative adversarial networks) or networks vs.
networks is one application that reinforced Ms. Rometty’s concern about rushing
AI applications to market.

Researchers
around the globe have used GANs to train AI algorithms.

For
example, Nvidia researchers used GANs as a “style-based generator” to create
hyper-realistic images.

Who’s Real – Advanced technology such as GANs enables people to
create and distribute fake photos and videos of people and activities that are
extremely difficult to discern from real individuals or events.

Since
then, GANs and the style-based generators have been used to produce fake
political videos, create/distribute extremely embarrassing/compromising content
that looks so real it is difficult to explain or dispute.

Fortunately,
Cochrane only associates with people who have integrity. “It’s better to hang out with people better
than you, he said. “Surround yourself with people who are better than you and
you’ll drift in that direction.

“It’s
a question of ethics and professionalism,” Cochrane continued. “Filmmakers I know well and work with really
just want to create a film that will transport people to another part of the
world, educate and entertain them. We’re using the best tools, people and
techniques to deliver a great product to viewers.

“When
it’s a wrap, the hard work begins;” he added, “getting it sold and seen.”

In today’s crowded theatrical, appointment TV
and OTT marketplace it’s an even trickier, more dangerous task.

Custom Viewing – Filmmakers working with AI-enabled solutions can
produce content that can satisfy their creative goals as well as individual
viewers.

In
many ways, AI is enhancing filmmakers’ creativity, not squelching it.

For
example, investors have shown a lot of interest in Scriptbook which claims that
its algorithm is three times better at predicting box office success
than human readers.

The
company has spent a lot of time/effort analyzing scripts of completed successful
and not-so- successful films and projects to say, “See it works. The analysis
shows that you wasted a ton of money on those three projects that bombed; or
yep, our system ‘validated’ that this was going to be good, great, dynamite!”

Maybe!

We
do know we didn’t see the buyers at Sundance sit through any of the screenings
with systems on their laps doing a bunch of number crunching before they wrote
checks.

Massive Data – With the assistance of big data, analytics and AI
filmmakers can see how they can tailor their productions to produce the results
they are working to achieve with their audience.

They
looked at the team involved in the project, flipped through the storyline,
studied the pre-event buzz, checked the audience response during the 10-day
Park City event and did deals.

Not
that AI won’t be involved in content projects at the beginning, because the
industry has accumulated a lot of data.

Movie
data includes box office revenues, production costs, and audience demographics
as well as director, screenplay writer, cinematographer, and other detailed
project information.

So,
we can expect intelligent systems to find their way into the industry to
dramatically transform how – and if – stories are told … and sold.

Legendary
Entertainment and several competitors have put their AI tools to work to
develop movie, show and series trailers to optimize audience interest.

Qloo
has been busy with their AI solutions developing viewer and audience profiles
to target marketing efforts and activities to create measurable positive
results.

Products/services
like Qloo are also being used to identify viewer preferences, likes and
dislikes so content developers/distributors can determine which projects get
funded when they don’t want to rely on their experience and … gut.

Fortunately,
most film festival entries don’t get produced by committee or AI but by folks
who believe in the story that they develop.

Pay Day – Based on a lot of historical viewer/production data,
content services were able to go to this year’s Sundance Film Festival with a
very good idea of the types of films and episodic series that would appeal to
their audiences and then negotiate accordingly.

Studios,
networks and streamers invested quickly and heavily because they had a pretty
good idea how to use subscriber/viewer data to attract the right audience.

All
of the major streaming services – Netflix, Amazon Prime, Hulu, YouTube, TenCent
– have an overabundance of viewership data to determine which content will do
well; and, more importantly, how to tailor their trailers and social media
efforts to attract viewers and encourage them to tell others about the projects
to subscribe.

Streaming Knowledge – Today’s streaming services send content directly to a
specific IP address, so they have more data on what is viewed, how long it is
viewed and on what screen. This enables them to make intelligent
recommendations on what you might want to view and even when you might want to
watch it.

The
OTT services base their content projects, purchases and airings based on the
content people have watched, when they watched it, on the screen used and more individualized
data to customize how the video content is pitched to you.

“Some
people view this data capture and mining as a bad thing,” Allan McLennan, head of PADEM
Media Group, a leader in OTT as well as a pioneer in AI, VR and iTV commented.

“These
services constantly run A/B tests, analyze when people hit play/pause, when
they stop watching a title, add something to their watchlist and analyze other
data to optimize an individual’s enjoyment,” he noted. “The data and analysis allow them to more
accurately personalize the service for the viewers.

“As their
use of AI solutions becomes more sophisticated and common, it will enable producers
and programmers to identify what new projects should be developed and even to
some degree the viewership/engagement that will enjoy their production before
it begins,” he added.

Changing Mind – AI can help humans in many ways, including
recommending content and activity that will be satisfying to them or at least
less harmful to them. After making the
recommendations, it’s up to you to choose
the right content, action.

“The technology doesn’t control or mold what
people want to watch” McLennan emphasized.
“And it certainly doesn’t control whether good or bad video stories will
be made. That is still a very personal,
human activity.”

Cochrane
and McLennan agree that most of the “noise” we see today regarding AI is
headline-grabbing stuff – widespread job elimination and control/manipulation
of what people think, feel, do.

Cochrane
feels that the technology will enable filmmakers to streamline note taking and
project management as well as helping to create projects that people can connect
with and react to more quickly.

“Filmmaking
is–and will continue to be–a very personal endeavor,” Cochrane emphasized,
“and the new tools will make it faster, easier and probably more profitable to
get viewers to connect with that story, that message.”

“AI
has a lot of potential for every segment of the M&E industry,” McLennan
said, “from concept and delivery to engagement.”

“One
of the most important is streamling and improving communications throughout the
creative/production process,” he added.
“In fact, as simple as it may seem, one that could extend off of AI/metadata
intelligence, and I’m sure is on the horizon, is one that could help all of us manage
all of our editing processes, even our email. We all know how much of an
assistance that would be.”

AI
holds a lot of potential for the M&E industry and should be viewed as an
opportunity to improve the personalized experience rather than a threat to
content creators. People tend to be limited
by what they know today, not what we imagine might be true tomorrow.

As
Major Mokoto Kusangagi said, “If a
technological feat is possible, man will do it. Almost as if it’s wired into
the core of our being.”